Application Of Neural Network Expert System For Control System Of Smoke Desulfurization

SCS is one of the most important methods of power plants control systems. In order to run consistently, the signal should be transmitted accurately and quickly. Otherwise, it will lead to some control fault, such as step interrupted. But, many mistakes, such as communication fault, device fault or logic fault, make the feedback signal transmitted incorrectly. Both neural network and expert system are well-developed control means and were used widely. The neural network expert system combining neural networks and expert systems advantage, was applied in many areas successfully. In this paper, by using neural network expert system analysis device status, we have a new way to get the device status other than direct signals. The use of OPC technology,real-time communication between eural network expert system and PLC was achieved. At last, by modifying control logic, the value forecasted by eural network participate in control.